49 citations · 125 across the 16 of their papers we have counts for
8 papers · 1 filter
TOPFORMER: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles
Adaku Uchendu, Thai Le, Dongwon Lee
Recent advances in Large Language Models (LLMs) have enabled the generation of open-ended high-quality texts, that are non-trivial to distinguish from human-written texts. We refer…
Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?
Adaku Uchendu, Jooyoung Lee, Hua Shen +3
Advances in Large Language Models (e.g., GPT-4, LLaMA) have improved the generation of coherent sentences resembling human writing on a large scale, resulting in the creation of so…
CRYPTEXT: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild
Thai Le, Ye Yiran, Yifan Hu +1
User-generated textual contents on the Internet are often noisy, erroneous, and not in correct forms in grammar. In fact, some online users choose to express their opinions online…
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective
Adaku Uchendu, Thai Le, Dongwon Lee
Two interlocking research questions of growing interest and importance in privacy research are Authorship Attribution (AA) and Authorship Obfuscation (AO). Given an artifact, espec…
Do Language Models Plagiarize?
Jooyoung Lee, Thai Le, Jinghui Chen +1
Past literature has illustrated that language models (LMs) often memorize parts of training instances and reproduce them in natural language generation (NLG) processes. However, it…
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
Adaku Uchendu, Zeyu Ma, Thai Le +2
Recent progress in generative language models has enabled machines to generate astonishingly realistic texts. While there are many legitimate applications of such models, there is…
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models
Thai Le, Suhang Wang, Dongwon Lee
In recent years, the proliferation of so-called "fake news" has caused much disruptions in society and weakened the news ecosystem. Therefore, to mitigate such problems, researcher…
Machine Learning Based Detection of Clickbait Posts in Social Media
Xinyue Cao, Thai Le, Jason +1
Clickbait (headlines) make use of misleading titles that hide critical information from or exaggerate the content on the landing target pages to entice clicks. As clickbaits often…